Spatiotemporal impact of non-pharmaceutical interventions against COVID-19 on the incidence of infectious diarrhea in Xi'an, China

Hui Zhang; Li Shen; Minghao Sun; Chenxi Zhao; Qian Li; Zurong Yang; Jifeng Liu; Kun Liu; Bo Xiao

doi:10.3389/fpubh.2022.1011592

Frontiers in Public Health (Nov 2022)

Spatiotemporal impact of non-pharmaceutical interventions against COVID-19 on the incidence of infectious diarrhea in Xi'an, China

Hui Zhang,
Li Shen,
Minghao Sun,
Chenxi Zhao,
Qian Li,
Zurong Yang,
Jifeng Liu,
Kun Liu,
Bo Xiao

Affiliations

Hui Zhang: Department of Prevention of Infectious Diseases, Xi'an Center for Disease Control and Prevention, Xi'an, Shaanxi, China
Li Shen: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Minghao Sun: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Chenxi Zhao: Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China
Qian Li: Department of Prevention of Infectious Diseases, Xi'an Center for Disease Control and Prevention, Xi'an, Shaanxi, China
Zurong Yang: Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China
Jifeng Liu: Department of Prevention of Infectious Diseases, Xi'an Center for Disease Control and Prevention, Xi'an, Shaanxi, China
Kun Liu: Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an, China
Bo Xiao: Department of Plastic Surgery, Xijing Hospital, Air Force Medical University, Xi'an, China

DOI: https://doi.org/10.3389/fpubh.2022.1011592
Journal volume & issue: Vol. 10

Abstract

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BackgroundNon-pharmaceutical interventions (NPIs) against COVID-19 may prevent the spread of other infectious diseases. Our purpose was to assess the effects of NPIs against COVID-19 on infectious diarrhea in Xi'an, China.MethodsBased on the surveillance data of infectious diarrhea, and the different periods of emergence responses for COVID-19 in Xi'an from 2011 to 2021, we applied Bayesian structural time series model and interrupted time series model to evaluate the effects of NPIs against COVID-19 on the epidemiological characteristics and the causative pathogens of infectious diarrhea.FindingsA total of 102,051 cases of infectious diarrhea were reported in Xi'an from 2011 to 2021. The Bayesian structural time series model results demonstrated that the cases of infectious diarrhea during the emergency response period was 40.38% lower than predicted, corresponding to 3,211 fewer cases, during the COVID-19 epidemic period of 2020–2021. The reduction exhibited significant variations in the demography, temporal and geographical distribution. The decline in incidence was especially evident in children under 5-years-old, with decreases of 34.09% in 2020 and 33.99% in 2021, relative to the 2017–2019 average. Meanwhile, the incidence decreased more significantly in industrial areas.InterpretationNPIs against COVID-19 were associated with short- and long-term reductions in the incidence of infectious diarrhea, and this effect exhibited significant variations in epidemiological characteristics.

Published in Frontiers in Public Health

ISSN: 2296-2565 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Public aspects of medicine
Website: https://www.frontiersin.org/journals/public-health

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